摘要
针对线性时变离散系统,首次提出并研究了迭代域内线性二次型最优迭代学习控制问题。所得到的迭代学习控制方法在迭代域内是保性能最优的,其学习率不需主观选取,学习速度可通过改变性能矩阵参数进行调节。
For the first time, a kind of linear quadric optimal learning control in iteration domain is presented and researched in this paper. The iterative learning control scheme developed is guaranteed cost optimal in iteration domain, in which the learning rate does not need choose subjectively as existing learning algorithms, and the learning speed can adjusted only by changing the parameters of performance matrixes.
出处
《系统工程》
CSCD
北大核心
2005年第7期7-11,共5页
Systems Engineering
基金
国家自然科学基金资助项目(6047402969975003)
关键词
迭代学习控制
二次型性能函数
迭代域
Iterative Learning Control
Linear Quadratic Performance Function
Iteration Domain
